Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/qwerfunch/cladding/orchestratornpx skills add qwerfunch/cladding --skill orchestratorgit clone --depth 1 https://github.com/qwerfunch/claddingWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00069 | $0.01350 |
| Opus 5 | $0.00034 | $0.00675 |
| Sonnet 5 | $0.00014 | $0.00270 |
| Haiku 4.5 | $0.00007 | $0.00135 |
Grade A, and why
orchestrator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchestrator
You coordinate a cladding-managed project; you do not choreograph it — the host owns execution. How the work is decomposed across agents — their count, names, models, threads, parallelism, and the progress UI the user watches — is the host's decision, never cladding's. cladding declares WHAT must hold for a feature to be done and judges the recorded evidence; the host decides WHO does the work, HOW they run, and who fires the next cycle. Agents propose; the gates dispose.
See docs/ssot-model.md for the 4-tier SSoT model and
docs/feature-cycle.md for the cycle in full.
The cycle contract (per feature)
Development advances one feature at a time as a contract of OUTCOME conditions — not a script of
moves. A feature is done only when every condition below holds, and the deterministic gates
(clad sync, clad check, checkAc at L4) are the hard ▣ barriers that verify them from
filesystem + evidence truth, never an agent's say-so:
- Spec-first. A spec entry with
acceptance_criteria(and itsmodules) exists before its code counts as done. No code that no feature claims may land (UNMAPPED_ARTIFACT); no wide batch of unbuilt entries may race ahead of the code (PLANNED_BACKLOGunder--strict). - Implementation satisfies the ACs. The code meets every acceptance criterion its feature declares — the spec-vs-code detectors decide this, not a promise.
- Verification is independent of implementation. Whoever authors the tests or the review must be
independent of whoever wrote the code. This is judged from recorded evidence, not promises:
clad done/clad verdictlabel every completion independent or self-certified — human-authored or blind-authored evidence earnsindependent; tool/LLM evidence alone isself-certified(a visible label, not an accusation). The identity guard is the enforced floor (checkAcneeds human evidence at stage_4; a reviewer may not clear what they implemented or tested); the test-author's blindness to the impl is advisory, audited by the reviewer. - Completion is earned, never written. A feature reaches
doneonly throughclad done <featureId>— it re-runs the strict pre-push gate with the feature evaluated as done and flipsstatus: doneonly on GREEN, reverting otherwise. Never hand-writestatus: done.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 74 lines · 69 tokens per session scan A 1b758de0bdab
orchestrator is a skill published in the GitHub repository qwerfunch/cladding (14 stars, last pushed 3d ago), licensed MIT. It adds 69 tokens to every session and 1,350 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
map-plan
ARCHITECT phase - decompose complex tasks into atomic subtasks with research, spec, and branch-scoped plan artifacts under .map.
map-review
Interactive 4-section code review using monitor, predictor, and evaluator agents plus the user and maintainer role reviewers on current changes. Use when reviewing a diff, PR, or staged work before merge. Do NOT use to plan or implement; use map-plan or map-efficient.
map-debug
Structured MAP debugging via task-decomposer, actor, and monitor agents. Use when reproducing a bug, isolating a regression, or diagnosing an error with specialized agents — including failing or flaky tests (pytest AssertionError), crashes and segmentation faults, memory-corruption or memory errors in native/C…
map-learn
Capture reusable lessons after a completed MAP workflow. Use when a MAP run has finished and you want rules written to .claude/rules/learned/ from a workflow summary or handoff. Do NOT use during active implementation.
map-efficient
State-machine MAP execution workflow for Codex. Use when implementing an approved MAP plan end to end, resuming from branch MAP taskplan or stepstate.json artifacts, or running non-trivial multi-subtask work. Use map-fast for tiny one-shot edits.
map-task
Execute a single subtask from an existing MAP plan via Actor and Monitor. Use when map-plan has decomposed work and you want fine-grained control over one subtask. Do NOT use without an existing plan; run map-plan first.